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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Induction, Algorithmic Learning Theory, and Philosophy
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Induction, Algorithmic Learning Theory, and Philosophy (Logic, Epistemology, and the Unity of Science, 9)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New. pp. 304.
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Taschenbuch. Condition: Neu. Induction, Algorithmic Learning Theory, and Philosophy | Michèle Friend (u. a.) | Taschenbuch | xiv | Englisch | 2010 | Springer | EAN 9789048175444 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Induction, Algorithmic Learning Theory, and Philosophy (Logic, Epistemology, and the Unity of Science, 9)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Induction, Algorithmic Learning Theory, and Philosophy
Published by Springer Netherlands, Springer Netherlands, 2010
ISBN 10: 9048175445 ISBN 13: 9789048175444
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The idea of the present volume emerged in 2002 from a series of talks by Frank Stephan in 2002, and John Case in 2003, on developments of algorithmic learning theory. These talks took place in the Mathematics Department at the George Washington University. Following the talks, ValentinaHarizanovandMichèleFriendraised thepossibility ofanexchange of ideas concerning algorithmic learning theory. In particular, this was to be a mutually bene cial exchange between philosophers, mathematicians and computer scientists. Harizanov and Friend sent out invitations for contributions and invited Norma Goethe to join the editing team. The Dilthey Fellowship of the George Washington University provided resources over the summer of 2003 to enable the editors and some of the contributors to meet in Oviedo (Spain) at the 12th International Congress of Logic, Methodology and Philosophy of Science. The editing work proceeded from there. The idea behind the volume is to rekindle interdisciplinary discussion. Algorithmic learning theory has been around for nearly half a century. The immediate beginnings can be traced back to E.M. Gold's papers: 'Limiting recursion' (1965) and 'Language identi cation in the limit' (1967). However, from a logical point of view, the deeper roots of the learni- theoretic analysis go back to Carnap's work on inductive logic (1950, 1952).
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The idea of the present volume emerged in 2002 from a series of talks by Frank Stephan in 2002, and John Case in 2003, on developments of algorithmic learning theory. These talks took place in the Mathematics Department at the George Washington University. Following the talks, ValentinaHarizanovandMichèleFriendraised thepossibility ofanexchange of ideas concerning algorithmic learning theory. In particular, this was to be a mutually bene cial exchange between philosophers, mathematicians and computer scientists. Harizanov and Friend sent out invitations for contributions and invited Norma Goethe to join the editing team. The Dilthey Fellowship of the George Washington University provided resources over the summer of 2003 to enable the editors and some of the contributors to meet in Oviedo (Spain) at the 12th International Congress of Logic, Methodology and Philosophy of Science. The editing work proceeded from there. The idea behind the volume is to rekindle interdisciplinary discussion. Algorithmic learning theory has been around for nearly half a century. The immediate beginnings can be traced back to E.M. Gold's papers: 'Limiting recursion' (1965) and 'Language identi cation in the limit' (1967). However, from a logical point of view, the deeper roots of the learni- theoretic analysis go back to Carnap's work on inductive logic (1950, 1952).
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Induction, Algorithmic Learning Theory, and Philosophy
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Paperback. Condition: Brand New. 304 pages. 9.25x6.10x0.69 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Brand New. 287 pages. 9.25x6.25x0.75 inches. In Stock.
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Induction, Algorithmic Learning Theory, and Philosophy
Published by Springer Netherlands Nov 2010, 2010
ISBN 10: 9048175445 ISBN 13: 9789048175444
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint. 304 pp. Englisch.
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Induction, Algorithmic Learning Theory, and Philosophy
Published by SPRINGER NATURE Aug 2007, 2007
ISBN 10: 1402061269 ISBN 13: 9781402061264
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint. 290 pp. Englisch.
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Induction, Algorithmic Learning Theory, and Philosophy
Published by Springer Netherlands, 2010
ISBN 10: 9048175445 ISBN 13: 9789048175444
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Only book to combine philosophy essays with technical essays on algorithmic learning theoryInvaluable for the reflective computer scientist or the mathematician/logician interested in modelling learningDeepens the argument and debate about .
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Induction, Algorithmic Learning Theory, and Philosophy
Published by Springer Netherlands, 2007
ISBN 10: 1402061269 ISBN 13: 9781402061264
Language: English
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Only book to combine philosophy essays with technical essays on algorithmic learning theoryInvaluable for the reflective computer scientist or the mathematician/logician interested in modelling learningDeepens the argument and debate about .
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Induction, Algorithmic Learning Theory, and Philosophy
Published by Springer Netherlands, Springer Netherlands Nov 2010, 2010
ISBN 10: 9048175445 ISBN 13: 9789048175444
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The idea of the present volume emerged in 2002 from a series of talks by Frank Stephan in 2002, and John Case in 2003, on developments of algorithmic learning theory. These talks took place in the Mathematics Department at the George Washington University. Following the talks, ValentinaHarizanovandMichèleFriendraised thepossibility ofanexchange of ideas concerning algorithmic learning theory. In particular, this was to be a mutually bene cial exchange between philosophers, mathematicians and computer scientists. Harizanov and Friend sent out invitations for contributions and invited Norma Goethe to join the editing team. The Dilthey Fellowship of the George Washington University provided resources over the summer of 2003 to enable the editors and some of the contributors to meet in Oviedo (Spain) at the 12th International Congress of Logic, Methodology and Philosophy of Science. The editing work proceeded from there. The idea behind the volume is to rekindle interdisciplinary discussion. Algorithmic learning theory has been around for nearly half a century. The immediate beginnings can be traced back to E.M. Gold¿s papers: ¿Limiting recursion¿ (1965) and ¿Language identi cation in the limit¿ (1967). However, from a logical point of view, the deeper roots of the learni- theoretic analysis go back to Carnap¿s work on inductive logic (1950, 1952).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch.
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Condition: New. Print on Demand pp. 304 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 304.
